Kenta Yamamoto

4.0k total citations
166 papers, 3.0k citations indexed

About

Kenta Yamamoto is a scholar working on Epidemiology, Cardiology and Cardiovascular Medicine and Physiology. According to data from OpenAlex, Kenta Yamamoto has authored 166 papers receiving a total of 3.0k indexed citations (citations by other indexed papers that have themselves been cited), including 37 papers in Epidemiology, 35 papers in Cardiology and Cardiovascular Medicine and 35 papers in Physiology. Recurrent topics in Kenta Yamamoto's work include Liver Disease Diagnosis and Treatment (32 papers), Heart Rate Variability and Autonomic Control (26 papers) and Liver Disease and Transplantation (16 papers). Kenta Yamamoto is often cited by papers focused on Liver Disease Diagnosis and Treatment (32 papers), Heart Rate Variability and Autonomic Control (26 papers) and Liver Disease and Transplantation (16 papers). Kenta Yamamoto collaborates with scholars based in Japan, United States and Armenia. Kenta Yamamoto's co-authors include Motohiko Miyachi, Yuko Gando, Kiyoshi Sanada, Izumi Tabata, Mitsuru Higuchi, Haruka Murakami, K Takahashi, Hiroshi Kawano, Sho Onodera and Akira Yoshioka and has published in prestigious journals such as Circulation, Nature Communications and SHILAP Revista de lepidopterología.

In The Last Decade

Kenta Yamamoto

155 papers receiving 2.9k citations

Peers — A (Enhanced Table)

Peers by citation overlap · career bar shows stage (early→late) cites · hero ref

Name h Career Trend Papers Cites
Kenta Yamamoto Japan 25 1.1k 815 629 410 379 166 3.0k
Stephan Sorichter Germany 39 574 0.5× 1.1k 1.3× 266 0.4× 781 1.9× 401 1.1× 97 4.8k
Anne Charloux France 28 1.3k 1.1× 418 0.5× 590 0.9× 276 0.7× 588 1.6× 101 3.4k
Lene Simonsen Denmark 38 934 0.8× 1.9k 2.3× 648 1.0× 720 1.8× 1.2k 3.1× 133 4.9k
David M. Systrom United States 35 2.6k 2.3× 469 0.6× 918 1.5× 483 1.2× 551 1.5× 114 4.6k
Nathan T. Jenkins United States 33 858 0.8× 1.3k 1.6× 522 0.8× 657 1.6× 296 0.8× 103 3.1k
P. G. Snell United States 28 1.5k 1.3× 1.3k 1.6× 881 1.4× 540 1.3× 423 1.1× 54 4.1k
Michael G. Hughes United States 39 292 0.3× 508 0.6× 336 0.5× 362 0.9× 575 1.5× 125 4.2k
Thomas P. Olson United States 38 4.0k 3.5× 816 1.0× 1.7k 2.7× 203 0.5× 542 1.4× 180 5.7k
Richard J. Simpson United States 42 334 0.3× 1.7k 2.1× 376 0.6× 408 1.0× 293 0.8× 157 5.5k
Ghislaine Gayan‐Ramirez Belgium 39 307 0.3× 1.0k 1.3× 328 0.5× 776 1.9× 376 1.0× 142 4.4k

Countries citing papers authored by Kenta Yamamoto

Since Specialization
Citations

This map shows the geographic impact of Kenta Yamamoto's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Kenta Yamamoto with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Kenta Yamamoto more than expected).

Fields of papers citing papers by Kenta Yamamoto

Since Specialization
Physical SciencesHealth SciencesLife SciencesSocial Sciences

This network shows the impact of papers produced by Kenta Yamamoto. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Kenta Yamamoto. The network helps show where Kenta Yamamoto may publish in the future.

Co-authorship network of co-authors of Kenta Yamamoto

This figure shows the co-authorship network connecting the top 25 collaborators of Kenta Yamamoto. A scholar is included among the top collaborators of Kenta Yamamoto based on the total number of citations received by their joint publications. Widths of edges represent the number of papers authors have co-authored together. Node borders signify the number of papers an author published with Kenta Yamamoto. Kenta Yamamoto is excluded from the visualization to improve readability, since they are connected to all nodes in the network.

All Works

20 of 20 papers shown
1.
Ishikawa, Takuya, Kazuyuki Mizuno, Takafumi Yamamoto, et al.. (2025). Clinical features and pathological findings by liver biopsy in patients with immune-related sclerosing cholangitis induced by immune checkpoint inhibitors. Digestive and Liver Disease. 57(4). 877–884.
3.
Honda, Akira, M. Yamashita, Hidenao Noritake, et al.. (2024). High-fat diet modulates bile acid composition and gut microbiota, affecting severe cholangitis and cirrhotic change in murine primary biliary cholangitis. Journal of Autoimmunity. 148. 103287–103287. 1 indexed citations
5.
Yamamoto, Kenta, Takashi Hirose, Naomi Kakushima, et al.. (2024). Characteristics of microbiomes of the saliva, duodenal bulb, and descending portion of superficial nonampullary duodenal epithelial tumors. Digestive and Liver Disease. 56(6). 941–950.
6.
7.
Imai, Norihiro, Yuki Ohsaki, Jinglei Cheng, et al.. (2023). Distinct features of two lipid droplets types in cell nuclei from patients with liver diseases. Scientific Reports. 13(1). 6851–6851. 8 indexed citations
8.
Nakamura, Masanao, Takashi Honda, Takeshi Yamamura, et al.. (2023). Efficacy of 1‐kestose supplementation in patients with mild to moderate ulcerative colitis: A randomised, double‐blind, placebo‐controlled pilot study. Alimentary Pharmacology & Therapeutics. 57(11). 1249–1257. 22 indexed citations
9.
Imai, Norihiro, Kazushi Yasuda, Shinya Yokoyama, et al.. (2023). Successful Treatment with Steroids in a Patient with Vanishing Bile Duct Syndrome and Acute Tubular Necrosis. Internal Medicine. 63(1). 57–61. 3 indexed citations
10.
Ishizu, Yoji, Yukio Ando, Shinya Yokoyama, et al.. (2022). An improved method to assess skeletal muscle mass in patients with liver cirrhosis based on computed tomography images. Hepatology Research. 52(11). 937–946. 5 indexed citations
11.
Yamamoto, Kenta, Takashi Honda, Takanori Ito, et al.. (2022). Differences in the Intestinal Microbiome Associated with Diarrhea during Lenvatinib Treatment for Hepatocellular Carcinoma. Digestive Diseases. 41(1). 138–147. 7 indexed citations
13.
Nakamura, Masanao, Keiko Maeda, Kenta Yamamoto, et al.. (2022). Preliminary Comparison of Endoscopic Brush and Net Catheters as the Sampling Tool to Analyze the Intestinal Mucus in the Rectum with Ulcerative Colitis Patients. Digestion. 103(3). 232–243. 4 indexed citations
14.
Yamamoto, Kenta, Yoji Ishizu, Takashi Honda, et al.. (2022). Patients with low muscle mass have characteristic microbiome with low potential for amino acid synthesis in chronic liver disease. Scientific Reports. 12(1). 3674–3674. 22 indexed citations
15.
Kawashima, Hiroki, Eizaburo Ohno, Takuya Ishikawa, et al.. (2021). Measurement of fasting breath hydrogen concentration as a simple diagnostic method for pancreatic exocrine insufficiency. BMC Gastroenterology. 21(1). 211–211. 4 indexed citations
16.
Yamamoto, Kenta, Takashi Honda, Takanori Ito, et al.. (2020). The relationship between oral‐origin bacteria in the fecal microbiome and albumin–bilirubin grade in patients with hepatitis C. Journal of Gastroenterology and Hepatology. 36(3). 790–799. 6 indexed citations
17.
Yamamoto, Kenta, Masatoshi Ishigami, Takashi Honda, et al.. (2019). Influence of proton pump inhibitors on microbiota in chronic liver disease patients. Hepatology International. 13(2). 234–244. 35 indexed citations
18.
Sanada, Kiyoshi, Motohiko Miyachi, M. Tanimoto, et al.. (2010). A cross-sectional study of sarcopenia in Japanese men and women: reference values and association with cardiovascular risk factors. European Journal of Applied Physiology. 110(1). 57–65. 267 indexed citations
19.
Sanada, Kiyoshi, Motohiko Miyachi, Izumi Tabata, et al.. (2008). Muscle mass and bone mineral indices: does the normalized bone mineral content differ with age?. European Journal of Clinical Nutrition. 63(4). 465–472. 11 indexed citations
20.
Onodera, Sho, et al.. (1997). Changes of Heart Rate and Oxygen Uptake During Use of a New Type Ergometer in Water. 7(1). 205–209. 1 indexed citations

Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.

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